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1907.13220
Cited By
Multi-Agent Adversarial Inverse Reinforcement Learning
International Conference on Machine Learning (ICML), 2019
30 July 2019
Lantao Yu
Jiaming Song
Stefano Ermon
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Papers citing
"Multi-Agent Adversarial Inverse Reinforcement Learning"
50 / 64 papers shown
Blind Inverse Game Theory: Jointly Decoding Rewards and Rationality in Entropy-Regularized Competitive Games
Hamza Virk
Sandro Amaglobeli
Zuhayr Syed
106
0
0
07 Nov 2025
Rate optimal learning of equilibria from data
Till Freihaut
Luca Viano
Emanuele Nevali
Volkan Cevher
Matthieu Geist
Giorgia Ramponi
106
0
0
10 Oct 2025
DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
Ke Guo
Haochen Liu
Xiaojun Wu
Chen Lv
152
0
0
08 Oct 2025
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen
Menglin Zou
Jiaqi Zhang
Y. Zhang
Junyi Yang
Gaël Gendron
Libo Zhang
Jiamou Liu
Michael Witbrock
203
0
0
27 Sep 2025
Symmetry-Guided Multi-Agent Inverse Reinforcement Learning
Yongkai Tian
Yirong Qi
Xin Yu
Wenjun Wu
Jie Luo
165
1
0
10 Sep 2025
Inference of Altruism and Intrinsic Rewards in Multi-Agent Systems
Victor Villin
Christos Dimitrakakis
FaML
339
0
0
09 Sep 2025
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yang Chen
Xiao Lin
Bo Yan
Libo Zhang
Jiamou Liu
N. Tan
Michael Witbrock
OffRL
AI4CE
104
5
0
04 Sep 2025
Remote Sensing Image Intelligent Interpretation with the Language-Centered Perspective: Principles, Methods and Challenges
Haifeng Li
Wang Guo
Haiyang Wu
Mengwei Wu
Jipeng Zhang
Qing Zhu
Yu Liu
Xin Huang
Chao Tao
147
2
0
09 Aug 2025
MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations
Viet The Bui
Tien Mai
Hong Thanh Nguyen
OffRL
201
2
0
24 May 2025
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
Till Freihaut
Luca Viano
Volkan Cevher
Matthieu Geist
Giorgia Ramponi
277
2
0
23 May 2025
Imitation Learning of Correlated Policies in Stackelberg Games
Kunag-Da Wang
Ping-Chun Hsieh
Chao-Han Huck Yang
417
0
0
11 Mar 2025
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
Adaptive Agents and Multi-Agent Systems (AAMAS), 2025
Sangwon Seo
Vaibhav Unhelkar
281
5
0
24 Feb 2025
A Machine Learning Approach to Detect Strategic Behavior from Large-Population Observational Data Applied to Game Mode Prediction on a Team-Based Video Game
Boshen Wang
Luis E. Ortiz
292
0
0
20 Jan 2025
Learning Transparent Reward Models via Unsupervised Feature Selection
Conference on Robot Learning (CoRL), 2024
Daulet Baimukashev
G. Alcan
K. Luck
Ville Kyrki
SSL
OffRL
263
0
0
24 Oct 2024
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Neural Information Processing Systems (NeurIPS), 2024
Zeyang Liu
Xinrui Yang
Shiguang Sun
Long Qian
Lipeng Wan
Xingyu Chen
Xuguang Lan
362
5
0
03 Oct 2024
Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing
Luke Snow
Vikram Krishnamurthy
193
0
0
22 Sep 2024
Inverse Risk-sensitive Multi-Robot Task Allocation
Guangyao Shi
Gaurav Sukhatme
232
0
0
14 Jun 2024
Select to Perfect: Imitating desired behavior from large multi-agent data
International Conference on Learning Representations (ICLR), 2024
Tim Franzmeyer
Edith Elkind
Juil Sock
Jakob N. Foerster
Joao Henriques
284
3
0
06 May 2024
Inverse Submodular Maximization with Application to Human-in-the-Loop Multi-Robot Multi-Objective Coverage Control
Guangyao Shi
Gaurav Sukhatme
232
3
0
16 Mar 2024
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration
Angelo Caregnato-Neto
Luciano Cavalcante Siebert
Arkady Zgonnikov
Marcos Ricardo Omena de Albuquerque Máximo
R. J. Afonso
193
3
0
29 Feb 2024
Cooperation and Control in Delegation Games
Oliver Sourbut
Lewis Hammond
Harriet Wood
287
2
0
24 Feb 2024
Scalable Interactive Machine Learning for Future Command and Control
Anna Madison
Ellen R. Novoseller
Vinicius G. Goecks
Benjamin T. Files
Nicholas R. Waytowich
Alfred Yu
Vernon J. Lawhern
Steven Thurman
Christopher Kelshaw
Kaleb McDowell
278
6
0
09 Feb 2024
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning
The Viet Bui
Tien Mai
Thanh Hong Nguyen
232
2
0
10 Oct 2023
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
Neural Information Processing Systems (NeurIPS), 2023
Quanyi Li
Zhenghao Peng
Lan Feng
Zhizheng Liu
Chenda Duan
Wen-An Mo
Bolei Zhou
523
73
0
21 Jun 2023
SRL-ORCA: A Socially Aware Multi-Agent Mapless Navigation Algorithm In Complex Dynamic Scenes
IEEE Robotics and Automation Letters (RA-L), 2023
Jianmin Qin
Jiahu Qin
Jiaxin Qiu
Qingchen Liu
Man Li
Qichao Ma
224
17
0
18 Jun 2023
FP-IRL: Fokker-Planck Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes
Chengyang Huang
Siddharth Srivastava
Kenneth K. Y. Ho
Kathy E. Luker
Gary D. Luker
Xun Huan
K. Garikipati
123
1
0
17 Jun 2023
Understanding the Application of Utility Theory in Robotics and Artificial Intelligence: A Survey
Qin Yang
R. Liu
228
4
0
15 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning
Shunyu Liu
Yunpeng Qing
Shuqi Xu
Hongyan Wu
Jiangtao Zhang
Jingyuan Cong
Tianhao Chen
Yunfu Liu
Weilong Dai
232
3
0
14 Jun 2023
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning
Daniel Waelchli
Pascal Weber
Petros Koumoutsakos
AI4CE
225
4
0
17 May 2023
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Haochen Wu
Pedro Sequeira
David Pynadath
305
18
0
20 Feb 2023
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms
Guanpu Chen
Gehui Xu
Fengxiang He
Yiguang Hong
Leszek Rutkowski
Dacheng Tao
254
5
0
19 Jan 2023
Identifying Coordination in a Cognitive Radar Network -- A Multi-Objective Inverse Reinforcement Learning Approach
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Luke Snow
Vikram Krishnamurthy
Brian M Sadler
117
8
0
13 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Viet The Bui
Tien Mai
T. Nguyen
AAML
298
6
0
30 Oct 2022
Weighted Maximum Entropy Inverse Reinforcement Learning
Viet The Bui
Tien Mai
Patrick Jaillet
125
0
0
20 Aug 2022
A General Recipe for Likelihood-free Bayesian Optimization
International Conference on Machine Learning (ICML), 2022
Jiaming Song
Lantao Yu
Willie Neiswanger
Stefano Ermon
275
28
0
27 Jun 2022
Synthetic Data-Based Simulators for Recommender Systems: A Survey
Elizaveta Stavinova
A. Grigorievskiy
A. Volodkevich
P. Chunaev
Klavdiya Olegovna Bochenina
D. Bugaychenko
SyDa
193
9
0
22 Jun 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Yue Jin
Shuangqing Wei
Jian Yuan
Xudong Zhang
124
0
0
23 May 2022
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Sang-Wook Seo
Vaibhav Unhelkar
OffRL
322
6
0
05 May 2022
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications
Tim Tsz-Kit Lau
B. Sengupta
173
6
0
14 Mar 2022
On-the-fly Strategy Adaptation for ad-hoc Agent Coordination
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Jaleh Zand
Jack Parker-Holder
Stephen J. Roberts
168
14
0
08 Mar 2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Yang Chen
Libo Zhang
Jiamou Liu
Shuyue Hu
AI4CE
181
13
0
13 Feb 2022
Conditional Imitation Learning for Multi-Agent Games
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2022
Andy Shih
Stefano Ermon
Dorsa Sadigh
253
15
0
05 Jan 2022
Robust Entropy-regularized Markov Decision Processes
Tien Mai
Patrick Jaillet
129
5
0
31 Dec 2021
Multi-Agent Advisor Q-Learning
Sriram Ganapathi Subramanian
Matthew E. Taylor
Kate Larson
Mark Crowley
OffRL
362
11
0
26 Oct 2021
Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions
Negar Mehr
Mingyu Wang
Mac Schwager
161
78
0
03 Oct 2021
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching
IEEE International Conference on Robotics and Automation (ICRA), 2021
Hanako Hoshino
Keita Ota
Asako Kanezaki
Rio Yokota
OffRL
OOD
160
20
0
09 Sep 2021
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
International Conference on Learning Representations (ICLR), 2021
Tim Franzmeyer
Mateusz Malinowski
João F. Henriques
349
10
0
20 Jul 2021
Multi-Agent Imitation Learning with Copulas
Hongwei Wang
Lantao Yu
Zhangjie Cao
Stefano Ermon
AI4CE
203
16
0
10 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Artificial Intelligence Review (AIR), 2021
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
266
153
0
29 Jun 2021
Adversarial Inverse Reinforcement Learning for Mean Field Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Yang Chen
Libo Zhang
Jiamou Liu
Michael Witbrock
AI4CE
326
10
0
29 Apr 2021
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